Job Description Summary

This role is responsible for managing critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities across various development phases to enable analytical and reporting solutions. The position requires a minimum of four years of experience and involves analyzing and preparing data for data science-driven outcomes, maintaining metadata structures, and supporting post-deployment activities. Strong change management skills are essential, as the role requires identifying new technologies, securing stakeholder buy-in, and driving process improvements. Collaboration, communication, and problem-solving are key to navigating ambiguity, influencing decisions, and delivering innovative solutions in an agile environment. The ideal candidate should have hands-on experience with big data, CI/CD pipelines, and complex code development, as well as mentoring and coaching capabilities to grow talent within the team.

Job Description

Role Responsibilities:

• Responsible for managing business critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities in various phases of development to enable analytical and reporting solutions.
• Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies.
• Change Agent - Proactively learns new tools and integrates new methods to drive improved outcomes. Identifies and assesses new technologies that can add value and capability to GE. Builds rapport with the team and gets buy-in for ideas. Drives stakeholder understanding and acceptance of new ideas in their business. Participates in change programs by planning implementation activities with other change champions. Implements monitoring and feedback systems. Solicits ideas for improving primary business processes.
• Collaboration - Establishes & communicates team members' roles in relation to their function and data. Shares knowledge, power and credit, establishing trust, credibility, and goodwill. Coordinates role responsibilities with that of others to achieve mutual goals. Encourages groups to work together to resolve problems. Proactively coaches and/or mentors others to improve their contribution to the team. Fosters relationship building between team members and those outside the team. Works with others to achieve goals without regard to band/title. Identifies gaps in roles on teams, and is recognized for growing and distributing talent pools across the organization.
• Comfort in Ambiguity - Identifies when additional information is needed from customer/manager/stake holder and asks relevant questions to obtain it. Delivers solution(s) where additional information may not be needed or available, while clearly stating any underlying assumptions. Communicates status. Evaluates data sets to determine possible value or steps to create value.
• Communication - Adjusts information (e.g. level of complexity) and story to align with audience. Produces functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts. Informs stakeholders of customer issues, identifies potential problems or conflicts and resolves them when necessary. Explains the story of the rationale and benefit of their ideas. Uses relevant and appropriate presentation techniques. Responds to questions and dissent in a constructive manner. Acknowledges limitations of one’s own knowledge.
• Consulting - Provides options and counsel. Drives dialogues that produce new perspectives and substantial innovation, enhancements and analysis of consequences. Consults on projects to fit systems or infrastructure, and project goals to their function, and vice versa. Provides risk-assessed options in relation to process enhancement and professional expertise. Consults on data or data infrastructure development projects and identifies when necessary to modify the solution.
• Curiosity/Creativity - Connects ideas and solutions from a broad array of sources (e.g., what other businesses are doing, brainstorming with others). Pilots new ideas and processes that have not been utilized before.
• Decision Making & Risk Management - Analyzes and interprets business strategy, policies, values, complex data patterns and relationships to make decisions regardless of incomplete and conflicting information and uncertain consequences. Makes benchmarked and researched recommendations with contingency plans in place for potential adverse consequences; takes responsibility for consequences of decision/risk. Lobbies business partners and subject matter experts for consensus in taking action that sets direction in at least one critical business function.
• Influence - Ensures group understanding of issues and presents rationale to affect outcomes. Resolves conflicting opinions through consensus. Uses appropriate facilitation techniques to gain agreement or move others to action.
• Problem Solving - Identifies future roadblocks and promotes data-based problem solving. Assesses & prioritizes problems in relation to organizational goals. Coordinates team's work and performance with broader organizational objectives and manages conflicts between them. Advises others in how to solve difficult problems.

Minimum Qualifications:

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with a minimum of 4 years of experience
• Must have 4 years of experience working with AWS

Eligibility Requirement:

• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.

Desired Qualifications:

• Knowledge working with S3, Storage Gateway, and SageMaker.
• Experience with Python and SQL.
• Have worked with Firewalls.

Abilities:

• Influences LPBs and below on their decisions.
• Drives design and implementation of the roadmap.
• Design and develop complex code in multiple languages.
• Developing reusable code pipelines through CI/CD.
• Hands-on experience of big data or MPP databases.
• Developing and executing integrated test plans.
• Coach and mentor across pod to develop team members.

This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No